This job offer is no longer available
About
Data Engineer
with strong SQL and Azure data platform experience to support our data engineering and analytics initiatives. This role will focus on building and maintaining data pipelines, optimizing database performance, and enabling reporting and analytics across the organization. The ideal candidate has hands-on experience with
SQL performance optimization, Azure Data Factory, and Power BI , along with a solid understanding of modern data warehousing concepts. Key Responsibilities Design, build, and maintain
data pipelines and ETL/ELT workflows
using Azure Data Factory. Develop and optimize
SQL queries, stored procedures, and database objects
for performance and scalability. Perform
SQL performance tuning , including indexing strategies and query execution plan analysis. Support and enhance
Power BI dashboards and reports
used by business and analytics teams. Design and maintain
data warehouse structures , including
fact and dimension tables using star schema modeling . Work with stakeholders to gather requirements and deliver
data solutions that support reporting and analytics needs . Ensure
data quality, consistency, and reliability
across analytics systems. Troubleshoot and resolve
data pipeline, reporting, or database performance issues . Required Skills & Experience Experience
in Data Engineering, Data Analytics, or a related field. Strong expertise in
SQL , including advanced querying, joins, indexing, and execution plans. Proven experience with
SQL performance tuning and optimization . Hands-on experience with
Azure Data Factory (ADF) . Experience supporting or developing
Power BI reports and dashboards . Good understanding of
data warehousing concepts , including
star schema, fact tables, and dimension tables . Experience writing and optimizing
stored procedures . Familiarity with
ETL/ELT frameworks and data pipeline architecture . Strong
analytical and problem-solving skills . Preferred / Nice to Have Experience with
SQL Server Analysis Services (SSAS)
(Tabular or Multidimensional). Experience with
Azure SQL Database or Azure Synapse Analytics . Exposure to
Microsoft Fabric . Knowledge of
Azure Data Lake and Medallion Architecture (Bronze / Silver / Gold)
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.